Secure Your AI Platform
Your AI platform processes user inputs, proprietary model weights, and sensitive RAG data vector indexes. Zero Day helps you ensure prompts stay sanitized, model intellectual property stays protected, and agentic workflows operate safely.
What We Help You Secure
We cover the unique attack vectors introduced by generative AI and machine learning models.
Prompt Injection & Jailbreaks
Sanitize user inputs and protect system prompts against direct/indirect jailbreaks.
Vector DB & RAG Pipelines
Tenant boundary isolation and document permission checks across vector search indexes.
Model Artifacts & Weight Encryption
Secure model weights and fine-tuned checkpoints against unauthorized downloading.
AI Agent API Tooling
Strict permission boundaries on external tool execution (database queries, email, code execution).
Inference Endpoint APIs
Rate limiting, payload validation, and denial of wallet protection against token spam.
Fine-Tuning Dataset Security
Prevent data poisoning and unauthorized PII inclusion in training datasets.
Why Security Matters for Your Business
Security isn’t just technical — it protects your AI intellectual property and user safety.
AI Model & IP Protection
Unprotected fine-tuned weights and proprietary system prompts can be extracted by competitors.
Data Privacy & RAG Security
Retrieval-Augmented Generation indexes must never leak private documents across different tenants.
Brand Safety & Agent Guardrails
Indirect prompt injection can trick your AI agent into executing unauthorized user commands.
How We Work With You
A clear, founder-friendly process from first conversation through launch.
01.Understand Product
We review your AI model pipeline, RAG architecture, vector stores, and external API tool bindings.
What You Gain
The outcomes AI founders care about — delivered before you launch.
Launch With Confidence
Deploy generative AI products knowing jailbreaks and leaks are neutralized.
Safeguard Model IP
Keep your hard-earned fine-tuned models and prompts secure from theft.
Prevent Data Leakage
Ensure customer documents in RAG indexes are strictly partitioned.
Pass AI Security Due Diligence
Satisfy enterprise buyers concerned about LLM safety and data privacy.
Control API Inference Costs
Stop malicious users from spamming long context windows to inflate your OpenAI/Anthropic bills.
Build Trust in AI Agents
Demonstrate that your AI tools take autonomous actions safely and predictably.
Questions AI Founders Ask
Everything you need to know about our pre-launch security audits, multi-tenant isolation, and penetration testing process.
Can prompt injection really be prevented completely?
While LLMs are inherently probabilistic, combining multi-layer input sanitization, dynamic output guardrails, and restricted agent tool scopes effectively neutralizes risk.
Do you audit vector databases like Pinecone, Qdrant, or Pgvector?
How long does an AI security assessment take?
Protect Your Product Before Launch
With Expert Security.
Our cybersecurity team will conduct a deep manual assessment of your architecture, uncover vulnerabilities, and give you actionable defense.